| Autor: |
null Dr. K Chitra, null R Uma Maheswari |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :451-457 |
| ISSN: |
2456-3307 |
| DOI: |
10.32628/cseit228647 |
| Popis: |
E-learning is an effective tool for education than what is currently provided by any of the available computer aided tutoring, or learning management systems. Semantic Web is a collection of information that is linked to each other and process by machine in global scale. It can be seen as globally connected database. Here we proposed a combined methodology for better information retrieval by using similarity measurement and visiting frequency and triplet pattern extraction. The primary intention of this paper is to improve the learning capability. triple patterns extraction is essential to convert the incoming learners query to Ontology browsing query (SPARQL).After extracting the triple patterns from the input query is used to build the query for receiving exact information in the ontology content. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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